尽量减少对OP的问题的改变，我只是在打破第一个for循环之前添加了一个标志，并检查外部循环上的标志，看看我们是否需要再次刹车。

break_2 = False
while True:
    # Snip: print out current state
    if break_2: break
    while True:
        ok = get_input("Is this ok? (y/n)")
        if ok.lower() == "y": break_2 = True
        if break_2: break
        if ok.lower() == "n": break
    # Do more processing with menus and stuff

我来这里的原因是我有一个外循环和一个内循环，像这样:

for x in array:
  for y in dont_use_these_values:
    if x.value==y:
      array.remove(x)  # fixed, was array.pop(x) in my original answer
      continue

  do some other stuff with x

正如你所看到的，它不会去下一个x，而是去下一个y。

我发现解决这个问题的简单方法是遍历数组两次:

for x in array:
  for y in dont_use_these_values:
    if x.value==y:
      array.remove(x)  # fixed, was array.pop(x) in my original answer
      continue

for x in array:
  do some other stuff with x

我知道这是OP问题的一个具体案例，但我发布它是希望它能帮助人们以不同的方式思考他们的问题，同时保持事情简单。

要跳出多个嵌套循环，而不需要重构为函数，可以使用带有内置StopIteration异常的“模拟goto语句”:

try:
    for outer in range(100):
        for inner in range(100):
            if break_early():
                raise StopIteration

except StopIteration: pass

请参阅使用goto语句打破嵌套循环的讨论。

我个人会做的是使用一个boolean，当我准备跳出外部循环时切换。例如

while True:
    #snip: print out current state
    quit = False
    while True:
        ok = input("Is this ok? (y/n)")
        if ok.lower() == "y":
            quit = True
            break # this should work now :-)
        if ok.lower() == "n":
            quit = True
            break # This should work too :-)
    if quit:
        break
    #do more processing with menus and stuff

和上一台很像，但更紧凑。 (布尔值只是数字)

breaker = False #our mighty loop exiter!
while True:
    while True:
        ok = get_input("Is this ok? (y/n)")
        breaker+= (ok.lower() == "y")
        break

    if breaker: # the interesting part!
        break   # <--- !

以下是一个非常简短的版本: 创建名为break_out_nested.py的文件

import itertools
import sys

it = sys.modules[__name__] # this allows us to share variables with break_out_nested.py when we import it 


def bol(*args):
    condi = args[-1] # the condition function
    i = args[:-1] # all iterables 
    for p in itertools.product(*i): # itertools.product creates the nested loop
        if condi(): # if the condition is True, we return 
            return
        yield p # if not, we yield the result 

现在你只需要几行就可以打破嵌套的循环(数据来自Rafiq的例子)

from break_out_nested import it, bol # import what we have just created

# you need to create new variables as attributes of it,
# because break_out_nested has only access to these variables
it.i, it.j, it.k = 1, 1, 1
# the break condition
def cond(): return it.i % 3 == 0 and it.j % 3 == 0 and it.k % 3 == 0

# The condition will be checked in each loop 
for it.i, it.j, it.k in bol(range(1, 6, 1), range(1, 11, 2, ), range(1, 21, 4), cond):
    print(it.i, it.j, it.k)

更多的例子:

def cond(): return it.i + it.j + it.k == 777

it.i, it.j, it.k = 0, 0, 0
for it.i, it.j, it.k in bol(range(100), range(1000), range(10000), cond):
    print(it.i, it.j, it.k)




def cond(): return it.i + it.j + it.k >= 100000

it.i, it.j, it.k = 0, 0, 0
# you dont have to use it.i, it.j, it.k as the loop variables, you can
# use anything you want, but you have to update the variables somewhere
for i, j, k in bol(range(100), range(1000), range(10000), cond):
    it.i, it.j, it.k = i * 10, j * 100, k * 100
    print(it.i, it.j, it.k)